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import datetime
import json
import numpy as np
from ase.utils import basestring
class MyEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.ndarray):
if obj.dtype == complex:
return {'__complex_ndarray__': (obj.real.tolist(),
obj.imag.tolist())}
return obj.tolist()
if isinstance(obj, datetime.datetime):
return {'__datetime__': obj.isoformat()}
if hasattr(obj, 'todict'):
return obj.todict()
return json.JSONEncoder.default(self, obj)
encode = MyEncoder().encode
def object_hook(dct):
if '__datetime__' in dct:
return datetime.datetime.strptime(dct['__datetime__'],
'%Y-%m-%dT%H:%M:%S.%f')
if '__complex_ndarray__' in dct:
r, i = (np.array(x) for x in dct['__complex_ndarray__'])
return r + i * 1j
return dct
mydecode = json.JSONDecoder(object_hook=object_hook).decode
def intkey(key):
try:
return int(key)
except ValueError:
return key
def numpyfy(obj):
if isinstance(obj, dict):
return dict((intkey(key), numpyfy(value))
for key, value in obj.items())
if isinstance(obj, list) and len(obj) > 0:
try:
a = np.array(obj)
except ValueError:
pass
else:
if a.dtype in [bool, int, float]:
return a
obj = [numpyfy(value) for value in obj]
return obj
def decode(txt):
return numpyfy(mydecode(txt))
def read_json(name):
if isinstance(name, basestring):
fd = open(name, 'r')
else:
fd = name
dct = decode(fd.read())
fd.close()
return dct
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